Author(s)

Boris Kompare, Saso Dzeroski & Viljem Krizman

Abstract

Classical construction of ecological models follows one of the following two approaches: (1) either the measured data are analyzed with a statistical approach and a black-box statistical model is constructed, or (2) the model is deduced from basic (physical, chemical, etc.) principles and the measured data are used to calibrate and validate the model. A combination of the both ways is used very rarely, although it could combine the benefits of both. Machine learning tools (ML), developed within the area of artificial intelligence (AI), are able to analyze a data base (perform data mining), using also some domain (expert) knowledge. As a result, ML tools can automati

Keywords